Coding/Learn/sql/sql between
SQL & Relational Database Engineering Complete Course
01.Introduction & Relational Database Architecture
02.Syntax, Clauses & Execution Order
03.SELECT: Column Projection & Expressions
04.SELECT DISTINCT & Row Deduplication
05.WHERE Clause: Filtering Predicates & Comparison
06.ORDER BY: Sorting, Multi-Column & NULLS Ordering
07.Logical Operators: AND, OR, NOT & Operator Precedence
08.Comments: Single-Line (--), Multi-Line (/* */) & Query Hints
09.Operators: Arithmetic, Bitwise & String Concatenation
10.LIKE Operator & Wildcard Characters (%, _)
11.IN & NOT IN: Membership Operators & Subqueries
12.BETWEEN: Range Filtering for Numbers, Dates & Text
13.NULL Values: Three-Valued Logic, IS NULL & IS NOT NULL
14.Aliases: AS Keyword for Columns & Tables
15.SELECT TOP, LIMIT & OFFSET Pagination
16.INSERT INTO: Single & Multi-Row Insertions
17.UPDATE: Modifying Existing Records & Safe WHERE Rules
18.DELETE: Removing Rows vs TRUNCATE TABLE
19.SELECT INTO & Table Backups (CREATE TABLE AS SELECT)
20.INSERT INTO SELECT: Bulk Data Migration
21.Aggregate Functions: Statistical Summaries
22.MIN() & MAX(): Finding Extremes Across Types
23.COUNT: COUNT(*), COUNT(column) & COUNT(DISTINCT)
24.SUM() & AVG(): Numerical Aggregation & Averages
25.GROUP BY: Aggregation Buckets & Categorical Metrics
26.HAVING: Filtering Aggregated Groups vs WHERE
27.Joins Architecture: Relational Modeling & Venn Diagrams
28.INNER JOIN: Matching Intersections Across Tables
29.LEFT JOIN: Preserving Unmatched Left Rows & Finding Orphans
30.RIGHT JOIN: Preserving Unmatched Right Rows
31.FULL JOIN: Full Outer Join & Complete Reconciliation
32.SELF JOIN: Hierarchies, Trees & Parent-Child Relationships
33.UNION: Combining Result Sets with Automatic Deduplication
34.UNION ALL vs UNION: Performance & Duplicates
35.EXISTS & NOT EXISTS: Correlated Subqueries
36.ANY & ALL: Quantified Comparison Subqueries
37.CASE: Conditional Expressions & Data Transposition
38.Null Functions: COALESCE, IFNULL, ISNULL & NULLIF
39.Stored Procedures, Functions & Query Parameters
40.CREATE & DROP DATABASE: Environment Lifecycle
41.CREATE TABLE: Defining Schemas & Types
42.DROP & TRUNCATE TABLE: Structure vs Data Purging
43.ALTER TABLE: Modifying Columns & Schema Evolution
44.AUTO INCREMENT & Sequences: Identity Generation
45.Date & Time Formats: Timestamp Manipulation
46.Views: Virtual Tables & Security Layers
47.Constraints Overview: Relational Integrity
48.NOT NULL & UNIQUE: Data Invariants
49.PRIMARY KEY: Entity Uniqueness & Clustering
50.FOREIGN KEY: Referential Integrity & Cascades
51.CHECK & DEFAULT: Business Rules at DB Layer
52.CREATE INDEX: B-Trees & Query Optimization
53.Injection Defense: Threat Models & Prevention
54.Parameters & Prepared Statements: Safe Execution
55.Database Engines & Hosting Architecture
56.Dialect References & Data Type Standards
57.Production Best Practices & Query Tuning Checklist
58.Interactive Exercises: Multi-Table Analytics Challenges
59.Comprehensive Assessment & Knowledge Check
60.Capstone Project: Enterprise Analytics Engine
61.Mastery Certification & Graduate Verification
Course Certificate0%

Complete all lessons to earn

LearnSQL BETWEEN: Range Filtering for Numbers, Dates & Text
12 / 61 0%
Lesson 12 of 61
5 mins read

SQL BETWEEN: Range Filtering for Numbers, Dates & Text

PreviousNext Lesson
In Plain English

The `BETWEEN` operator tests whether an expression falls within an inclusive range (both begin and end values included). It works seamlessly with numbers, dates, timestamps, and alphabetical text strings.

The Mental Model

"`BETWEEN 10 AND 20` is like setting two bookends on a shelf at position 10 and position 20: all books between them (including the ones at 10 and 20) are selected."

Deep Dive: How It Works

Inclusive Semantics: `WHERE age BETWEEN 18 AND 30` is completely equivalent to `WHERE age >= 18 AND age <= 30`.

Value Ordering: In `BETWEEN min AND max`, `min` must be less than or equal to `max`. Writing `BETWEEN 30 AND 18` always returns false in standard SQL.

Date & Timestamp Caution: `BETWEEN '2026-01-01' AND '2026-01-31'` on a TIMESTAMP column defaults to `2026-01-31 00:00:00`, missing all records created later that afternoon!

Syntax Blueprint

SELECT column1
FROM table_name
WHERE column1 BETWEEN min_value AND max_value;

BETWEEN is inclusive of both boundary values (min_value and max_value).

PointCore Rules to Remember

Point star
Inclusive Boundaries: Both min and max endpoints are included in matching results.
Point star
NOT BETWEEN: Selects values outside the designated range: `WHERE score NOT BETWEEN 40 AND 60`.
Point star
Index Range Scans: BETWEEN queries utilize B-Tree index range scans for exceptional performance.

Common Beginner Traps & How to Fix Them

Mistake:Using BETWEEN for datetime ranges on TIMESTAMP columns.

Why it happens: Records at `2026-01-31 14:30:00` are greater than `2026-01-31 00:00:00`.

How to fix: Use half-open intervals: `WHERE created_at >= '2026-01-01' AND created_at < '2026-02-01'`.

Pro Tip: Always use half-open intervals (`>= start AND < next_month`) for timestamp columns to avoid missing end-of-day records.

Live Interactive Example

Hit Run Code to see it live
Filtering Numerical and Date Ranges with BETWEEN
Python 3.12
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Output Console
Click "Run Code" to view the rendered output.
How it works: BETWEEN inclusively matched salary boundaries and 2024 date stamps.

Your Turn: Micro Challenge

No pressure! Edit the starter code below and test your solution with instant feedback.

Micro Exercise

Filter Prices with BETWEEN

  • PointSelect `name`, `price` from `items` where `price BETWEEN 20.0 AND 50.0`.
1
2
3
4
5
Sandbox Output
Click "Run & Check" to test your solution.

Finished reading and practicing?

Mark this lesson as completed to update your course progress.

PreviousNext Lesson
Overview100 SheetLearnCertificates